| Title | Using Hybrid Features of QR Code to Locate and Track in Augmented Reality |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Zhang, Caixia, Bai, Gang |
| Conference Name | Proceedings of the 2018 International Conference on Information Science and System |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-6421-8 |
| Keywords | augmented reality, cryptography, cyber physical systems, homography, pose estimation, pubcrawl, QR codes, quick response code, Resiliency |
| Abstract | Augmented Reality (AR) is a technique which seamlessly integrate virtual 3D models into the image of the real scenario in real time. Using the QR code as the identification mark, an algorithm is proposed to extract the virtual straight line of QR code and to locate and track the camera based on the hybrid features, thus it avoids the possibility of failure when locating and tracking only by feature points. The experimental results show that the method of combining straight lines with feature points is better than that of using only straight lines or feature points. Further, an AR (Augmented Reality) system is developed. |
| URL | http://doi.acm.org/10.1145/3209914.3226161 |
| DOI | 10.1145/3209914.3226161 |
| Citation Key | zhang_using_2018 |
Using Hybrid Features of QR Code to Locate and Track in Augmented Reality